About the role
This is a full-time, in-office opportunity to work at the cutting edge of robotics in unstructured real-world environments. If you thrive in a fast-paced startup environment and want to push the boundaries of robotics engineering, this role is for you.
Key Responsibilities
- Build out early-stage robot to work in real-world unstructured road environments
- Create motion and path planning algorithms for high-speed crack sealing
- Develop robust perception algorithms for real-time crack detection
- Implement sensor fusion algorithms for reliable localization and state estimation (encoders, IMU, cameras, etc.)
- Work with a team to deploy AI solutions in real-world applications, focusing on improving model performance
- Develop and implement novel approaches to model fine-tuning, optimization, and evaluation
- Optimize robot system-wide to hit engineering requirements across accuracy, speed, and reliability
Qualifications
- Bachelor’s, Master’s, or PhD in Computer Science, Math, Robotics, or relevant field
- 3-5 years at an early stage startup
- Experience with ROS/ROS2, Python, C++
- Expertise in one or more of the following core robotics competencies:
- Localization/mapping
- Perception
- Motion/path planning
- Motion control
- Simulation + sim-to-real
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Experience with applied machine learning in a robotics context (image classification/segmentation preferred)
- Knowledge and experience with robot simulation (Gazebo, IsaacSim, etc.)
